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[CE] Add CE for Hybrid Parallism (#7817)
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iosmers authored Jan 22, 2024
1 parent 082dc52 commit fcb532a
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Showing 11 changed files with 251 additions and 6 deletions.
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Expand Up @@ -19,7 +19,7 @@ pp_degree=1
bs_item=32
fp_item=bf16
run_mode=MP2-SP2-SD2-Stage1-mbs8-acc2
device_num=N1C8
device_num=N1C4
max_iter=50000
sharding=stage1
sharding_degree=2
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Expand Up @@ -19,7 +19,7 @@ pp_degree=1
bs_item=32
fp_item=bf16
run_mode=MP2-SP2-SD2-Stage1-mbs8-acc2
device_num=N1C8
device_num=N1C4
max_iter=100
sharding=stage1
sharding_degree=2
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Expand Up @@ -12,7 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=gpt-345m_seqlen1024_pretrain
model_item=CE_gpt-345m_seqlen1024_pretrain
dp_degree=1
mp_degree=2
pp_degree=2
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=CE_gpt-345m_seqlen1024_pretrain
dp_degree=2
mp_degree=2
pp_degree=4
bs_item=32
fp_item=bf16
run_mode=MP2-PP4-VPP2-DP2-mbs2-acc8
device_num=N2C16
max_iter=50000
sharding=False
sharding_degree=1

virtual_pp_degree=2
use_recompute=True
eval_freq=25
use_pipeline_parallel=True
sequence_parallel=False

model=gpt
micro_bs=2
acc=8
seed=1234

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=CE_gpt-345m_seqlen1024_pretrain
dp_degree=1
mp_degree=2
pp_degree=4
bs_item=32
fp_item=bf16
run_mode=MP2-PP4-VPP2-SD2-stage1-mbs2-acc8
device_num=N2C16
max_iter=50000
max_iter=50000
sharding=stage1
sharding_degree=2
virtual_pp_degree=2
use_recompute=True
eval_freq=25
use_pipeline_parallel=True
sequence_parallel=False

model=gpt
micro_bs=2
acc=8
seed=1234

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=CE_gpt-345m_seqlen1024_pretrain
dp_degree=2
mp_degree=2
pp_degree=4
bs_item=32
fp_item=bf16
run_mode=MP2-SP2-PP4-VPP2-DP2-mbs2-acc8
device_num=N2C16
max_iter=50000
sharding=False
sharding_degree=1

virtual_pp_degree=2
use_recompute=True
eval_freq=25
use_pipeline_parallel=True
sequence_parallel=True

model=gpt
micro_bs=2
acc=8
seed=1234

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
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Expand Up @@ -32,7 +32,6 @@ sequence_parallel=True
model=gpt
micro_bs=2
acc=8
seed=3589

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=gpt-345m_seqlen1024_pretrain
dp_degree=2
mp_degree=2
pp_degree=4
bs_item=32
fp_item=bf16
run_mode=MP2-PP4-VPP2-DP2-mbs2-acc8
device_num=N2C16
max_iter=100
sharding=False
sharding_degree=1

virtual_pp_degree=2
use_recompute=True
eval_freq=25
use_pipeline_parallel=True
sequence_parallel=False

model=gpt
micro_bs=2
acc=8
seed=1234

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
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@@ -0,0 +1,40 @@
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=gpt-345m_seqlen1024_pretrain
dp_degree=1
mp_degree=2
pp_degree=4
bs_item=32
fp_item=bf16
run_mode=MP2-PP4-VPP2-SD2-stage1-mbs2-acc8
device_num=N2C16
max_iter=100
sharding=stage1
sharding_degree=2
virtual_pp_degree=2
use_recompute=True
eval_freq=25
use_pipeline_parallel=True
sequence_parallel=False

model=gpt
micro_bs=2
acc=8
seed=1234

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

model_item=gpt-345m_seqlen1024_pretrain
dp_degree=2
mp_degree=2
pp_degree=4
bs_item=32
fp_item=bf16
run_mode=MP2-SP2-PP4-VPP2-DP2-mbs2-acc8
device_num=N2C16
max_iter=100
sharding=False
sharding_degree=1

virtual_pp_degree=2
use_recompute=True
eval_freq=25
use_pipeline_parallel=True
sequence_parallel=True

model=gpt
micro_bs=2
acc=8
seed=1234

bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
# run
bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
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Expand Up @@ -25,7 +25,7 @@ function _set_params(){
micro_batch_size=${6:-"2"} # (必选) micro_batch_size
global_batch_size=${7:-"16"} # (必选)global_batch_size
run_mode=${8:-"DP"} # (必选) MP模型并行|DP数据并行|PP流水线并行|混合并行DP1-MP1-PP1|DP2-MP8-PP2|DP1-MP8-PP4|DP4-MP8-PP1
device_num=${9:-"N1C1"} # (必选) 使用的卡数量,N1C1|N1C8|N4C32 (4机32卡)
device_num=${9:-"N1C1"} # (必选) 使用的卡数量,N1C1|N1C8|N1C4|N4C32 (4机32卡)
profiling=${PROFILING:-"false"} # (必选) Profiling 开关,默认关闭,通过全局变量传递
model_repo="PaddleNLP" # (必选) 模型套件的名字
speed_unit="tokens/s" # (必选)速度指标单位
Expand Down Expand Up @@ -153,7 +153,8 @@ function _train(){
run_pretrain.py ${train_cmd}"
workerlog_id=0
;;
DP8-mbs2-acc2|SD8-stage1-mbs2-acc2|SD8-stage2-mbs2-acc2|SD8-stage3-mbs2-acc2|PP8-mbs16-acc2|MP2-SD4-stage1-mbs4-acc2|MP2-SP2-PP2-DP2-mbs8-acc2|MP8-mbs16-acc2|MP2-PP2-DP2-mbs8-acc2|MP2-PP2-SD2-Stage1-mbs8-acc2|MP2-SP2-PP2-SD2-Stage1-mbs8-acc2|MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8) echo "run run_mode: ${run_mode}"
DP8-mbs2-acc2|SD8-stage1-mbs2-acc2|SD8-stage2-mbs2-acc2|SD8-stage3-mbs2-acc2|PP8-mbs16-acc2|MP8-mbs16-acc2|MP2-PP2-DP2-mbs8-acc2|MP2-PP2-SD2-Stage1-mbs8-acc2|MP2-SD4-stage1-mbs4-acc2|MP2-SP2-PP2-DP2-mbs8-acc2|MP2-SP2-PP2-SD2-Stage1-mbs8-acc2|MP2-PP4-VPP2-DP2-mbs2-acc8|MP2-PP4-VPP2-SD2-stage1-mbs2-acc8|MP2-SP2-PP4-VPP2-DP2-mbs2-acc8|MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8)
echo "run run_mode: ${run_mode}"
train_cmd="python -m paddle.distributed.launch --log_dir=./mylog --devices=0,1,2,3,4,5,6,7 ${PADDLE_RANK_OPTION}\
run_pretrain.py ${train_cmd}"
workerlog_id=0
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